AKshay

Managed team of analysis
Created strategy for business development by using strategy analysis techniques
Made tactics for complete strategy and evaluated it
Used machine learning and business analysis techniques for business development and revenue generation
Automated MIS report by using Python
Created visualization reports by using Power BI
Provided mentoring sessions on how to use data science and business analysis in business development and reach to the expected level
Provided analytical consulting services to take decisions on different task and opportunity

Managed team of analysis
Created strategy for business mission
Made tactics for it and evaluated it
Used machine learning algorithms and business analysis techniques for business development
Provided analytical consulting services to take decisions on different task, challenges and opportunity
Automated MIS report by using Python
Created visualization reports by using Power BI
Provided mentoring sessions on how to do data analysis and predictions and develop business

Worked as consultant of business director
Created business plan of one year
Implemented it and achieved company’s mission
Worked as HR analyst
Did employee retention analysis
Made strategy for decrease retention and improve business revenue
Worked as data scientist
Did customer segmentation
Created propensity model
Created customer retention by using machine learning techniques clustering, machine learning algorithm’s and cohort diagram
Suggested best customers’ segment
Created strategy for increase customer conversion
Automated MIS report by using Python
Created visualization reports by using Power BI

Trained student’s data science and Business analyst
Trained students machine learning algorithms, data analysis and business analysis techniques on datasets
Trained students on different field’s datasets like sales, collection, renewal and call centers dump
Understood field descriptions, profiles and method of doing first
Trained students how to work on these fields datasets
Explained criterion used in different fields, i.e. predictions modeling, customer segmentation, lead scoring and so on
Made them professional data scientist and business analyst

Worked as consultant to various clients
Provided solutions on their business problems
Helped grow the business and achieve the company’s mission
Provided analysis consultancy services to clients
Automated MIS report by using Python
Created visualization reports by using Power BI
Created propensity model by using machine learning ensemble method
Created good accuracy model
Helped identify potential leads, understand buyer intent, higher quantity leads and opportunities and achieve higher conversion rates
Worked for other consulting firms as business consultant in freelancing